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20162025
most citedEigenvector spatial filtering for large data sets: fixed and random effects approaches

63 citations · 79 across the 8 of their papers we have counts for

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stat.ME2025

Some Simplifications for the Expectation-Maximization (EM) Algorithm: The Linear Regression Model Case

Daniel A. Griffith

The EM algorithm is a generic tool that offers maximum likelihood solutions when datasets are incomplete with data values missing at random or completely at random. At least for it…